PurposeThe purpose of this paper is to show how archival expertise and diplomatic analysis can enrich the documentary corpuses analyzed by artificial intelligence tools. Here, the demonstration is based on a freely accessible material: the data from the great national debate launched in early 2019 by the French President Macron in response to the large-scale social movement known as the “yellow vests”.Design/methodology/approachStep 1 consisted of understanding the methods and conclusions of the providers responsible for processing the data of the great debate (1.5 million contributors). Step 2 was to analyze the formal elements of a random set of online contributions. Then, to compare the results.FindingsThis research shows that the processing of the data is based almost exclusively on texts, to the detriment of data on the source, date and arrangement of contributions, which could nevertheless be exploited as metadata.Research limitations/implicationsThe mass of data and the lack of online accessibility of part of the corpus did not make it possible to complete the experiment.Practical implicationsThis research lays the foundation for other projects for collaboration between archival science and artificial intelligence tools.Social implicationsThere is a social challenge involving researchers in information sciences in public debate and governmental consultations. There is also an issue for a records manager to become more involved in the production of public records by promoting their specific skills in information management.Originality/valueThe originality of this paper is to show how archival science can help to improve the quality of the documentary corpuses used by artificial intelligence tools, and therefore, to improve the performance of these tools.

中文翻译：

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人工智能和档案科学在处理法国大辩论数据方面的合作潜力

目的本文的目的是展示档案专业知识和外交分析如何丰富人工智能工具分析的文献语料库。在这里，演示基于可免费访问的材料：法国总统马克龙于 2019 年初发起的全国大辩论的数据，以应对被称为“黄背心”的大规模社会运动。设计/方法/方法步骤1 包括了解负责处理大辩论数据的提供者（150 万贡献者）的方法和结论。第 2 步是分析一组随机在线贡献的形式元素。然后，对结果进行比较。发现这项研究表明，对数据的处理几乎完全基于文本，从而损害了数据源上的数据，贡献的日期和安排，但仍可用作元数据。研究限制/影响由于数据量大和部分语料库缺乏在线可访问性，无法完成实验。实际意义这项研究为其他研究奠定了基础档案科学和​​人工智能工具之间的合作项目。社会影响在公共辩论和政府咨询中涉及信息科学研究人员的社会挑战。还有一个问题是，记录经理通过提升他们在信息管理方面的特定技能来更多地参与公共记录的制作。